Results 11 to 20 of about 7,092,434 (358)

The GeoLink knowledge graph [PDF]

Big Earth Data, 2018
GeoLink has leveraged linked data principles to create a dataset that allows users to seamlessly query and reason over some of the most prominent geoscience metadata repositories in the United States. The GeoLink dataset includes such diverse information
Michelle Cheatham, Adila Krisnadhi, Reihaneh Amini, Pascal Hitzler, Krzysztof Janowicz, Adam Shepherd, Tom Narock, Matt Jones, Peng Ji   +8 more
doaj   +3 more sources

Knowledge Graphs [PDF]

ACM Computing Surveys, 2021
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D’amato, Gerard De Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann   +17 more
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Prediction of Progression to Severe Stroke in Initially Diagnosed Anterior Circulation Ischemic Cerebral Infarction

Frontiers in Neurology, 2021
Purpose: Accurate prediction of the progression to severe stroke in initially diagnosed nonsevere patients with acute–subacute anterior circulation nonlacuna ischemic infarction (ASACNLII) is important in making clinical decision.
Lai Wei, Yidi Cao, Yidi Cao, Kangwei Zhang, Yun Xu, Xiang Zhou, Jinxi Meng, Aijun Shen, Jiong Ni, Jing Yao, Lei Shi, Lei Shi, Qi Zhang, Qi Zhang, Qi Zhang, Peijun Wang   +15 more
doaj   +1 more source

DiffKG: Knowledge Graph Diffusion Model for Recommendation [PDF]

Web Search and Data Mining, 2023
Knowledge Graphs (KGs) have emerged as invaluable resources for enriching recommendation systems by providing a wealth of factual information and capturing semantic relationships among items.
Ya Jiang, Yuhao Yang, Lianghao Xia, Chao Huang   +3 more
semanticscholar   +1 more source

XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
In the previous two decades, knowledge graphs have evolved, inspiring developers to build even more context related Knowledge Graphs. Because of this development, artificial intelligence applications can now access open domain-specific information in a format that is both semantically rich and machine comprehensible.
Alexandros Vassiliades, Spyridon, Sotiris, Georgios, Stefanos, Ioannis   +5 more
openaire   +2 more sources

Development and Evaluation of a Leukemia Diagnosis System Using Deep Learning in Real Clinical Scenarios

Frontiers in Pediatrics, 2021
Leukemia is the most common malignancy affecting children. The morphologic analysis of bone marrow smears is an important initial step for diagnosis. Recent publications demonstrated that artificial intelligence is able to classify blood cells but a long
Min Zhou, Min Zhou, Kefei Wu, Kefei Wu, Lisha Yu, Mengdi Xu, Mengdi Xu, Junjun Yang, Qing Shen, Qing Shen, Bo Liu, Bo Liu, Lei Shi, Lei Shi, Shuang Wu, Shuang Wu, Bin Dong, Hansong Wang, Hansong Wang, Jiajun Yuan, Jiajun Yuan, Shuhong Shen, Liebin Zhao, Liebin Zhao   +23 more
doaj   +1 more source

A Comprehensive Survey on Automatic Knowledge Graph Construction [PDF]

ACM Computing Surveys, 2023
Automatic knowledge graph construction aims at manufacturing structured human knowledge. To this end, much effort has historically been spent extracting informative fact patterns from different data sources.
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu   +4 more
semanticscholar   +1 more source

XR4DRAMA Knowledge Graph: A Knowledge Graph for Disaster Management

2023 IEEE 17th International Conference on Semantic Computing (ICSC), 2023
The evolution of Knowledge Graphs (KGs), during the last two decades, has encouraged developers to create more and more context related KGs. This advance is extremely important because Artificial Intelligence (AI) applications can access open domain specific information in a semantically rich, machine understandable format.
Alexandros Vassiliades, Spyridon Symeonidis, Sotiris Diplaris, Georgios Tzanetis, Stefanos Vrochidis, Nick Bassiliades, Ioannis Kompatsiaris   +6 more
openaire   +1 more source

Longitudinal trajectories of pneumonia lesions and lymphocyte counts associated with disease severity among convalescent COVID-19 patients: a group-based multi-trajectory analysis

BMC Pulmonary Medicine, 2021
Background To explore the long-term trajectories considering pneumonia volumes and lymphocyte counts with individual data in COVID-19. Methods A cohort of 257 convalescent COVID-19 patients (131 male and 126 females) were included.
Nannan Shi, Chao Huang, Qi Zhang, Chunzi Shi, Fengjun Liu, Fengxiang Song, Qinguo Hou, Jie Shen, Fei Shan, Xiaoming Su, Cheng Liu, Zhiyong Zhang, Lei Shi, Yuxin Shi   +13 more
doaj   +1 more source

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph

arXiv.org, 2023
Large language models (LLMs) have made significant strides in various tasks, yet they often struggle with complex reasoning and exhibit poor performance in scenarios where knowledge traceability, timeliness, and accuracy are crucial.
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Sai Wang, Chen Lin, Yeyun Gong, H. Shum, Jian Guo   +7 more
semanticscholar   +1 more source